OLAC Record oai:compendium.lr.sign-lang.uni-hamburg.de:dgscorpus

Metadata
Title:		DGS Corpus
Bibliographic Citation:		Konrad, R., Hanke, T., Langer, G., Blanck, D., Bleicken, J., Hofmann, I., Jeziorski, O., König, L., König, S., Nishio, R., Regen, A., Salden, U., Wagner, S., Worseck, S., Böse, O., Jahn, E., Schulder, M. 2020. MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release / MY DGS – annotated. Public Corpus of German Sign Language, 3rd release [Dataset]. Universität Hamburg. https://doi.org/10.25592/dgs.corpus-3.0
		Thomas Hanke, Marc Schulder, Reiner Konrad, Elena Jahn (2020). "Extending the Public DGS Corpus in Size and Depth". In: Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives (Marseille, France). Ed. by Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Jette Kristoffersen, Johanna Mesch. Paris, France: European Language Resources Association (ELRA), pp. 75-82. ISBN: 979-10-95546-54-2. ACL: 2020.signlang-1.12.
Contributor (sponsor):		Institute of German Sign Language and Communication of the Deaf, University of Hamburg
Description:		The DGS Corpus is a collection of DGSGerman Sign Language data from 330 signers from Germany. The 19-year long-term project is based at the Institute of German Sign Language and Communication of the Deaf at the University of Hamburg and started in 2009. It is led by Thomas Hanke and Annika Herrmann. The DGS Corpus is used to build the DGSGerman Sign Language–German dictionary DW-DGS. In the timeframe 2010–2012, the signers were recorded in pairs in a mobile studio travelling to thirteen spots in Germany. The signers were sitting opposite each other in front of a blue background. In total seven cameras were used for the recordings, five HD cameras and two Bumblebees. The Bumblebees were later replaced by three HD stereo cameras. The cameras were set up in three different angles: one recording a total view including the moderator, one filming each signer from the front and one from above. The original resolution is 720p50 for the videos of 2010 and 1080i50 for the videos from 2011 onwards. Public data is provided in 360p50. A Deaf moderator was leading through the tasks. The DGS Corpus is available in different formats: MY DGS is a community portal which offers an easy access to the data tailored for users interested in the content of the conversations. Videos can be watched in an online viewer with subtitles. MY DGS – annotated is a research portal which offers the annotated corpus data for linguistic research. MY DGS – ANNIS is another research portal making the DGS Corpus available via the corpus tool ANNIS, a web browser-based search and visualization architecture for complex multilayer linguistic corpora.
		https://www.sign-lang.uni-hamburg.de/lr/compendium/corpus/dgscorpus.html
Format:		560 hours recorded, 657000 tokens annotated
Identifier (URI):		https://ling.meine-dgs.de
Subject:		Corpus of German Sign Language
		German Sign Language language
Subject (ISO639):		gsg
Subject (OLAC):		text_and_corpus_linguistics
Type (DCMI):		Collection
		MovingImage
Type (OLAC):		primary_text
OLAC Info
Archive:		The Sign Language Dataset Compendium
Description:		http://www.language-archives.org/archive/compendium.lr.sign-lang.uni-hamburg.de
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:compendium.lr.sign-lang.uni-hamburg.de:dgscorpus
DateStamp:		2025-03-27
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Institute of German Sign Language and Communication of the Deaf, University of Hamburg (sponsor). n.d. The Sign Language Dataset Compendium.
Terms:		area_Europe country_DE dcmi_Collection dcmi_MovingImage iso639_gsg olac_dialogue olac_primary_text olac_text_and_corpus_linguistics
Inferred Metadata
Country:		Germany
Area:		Europe